print

Adaptive Extended Kalman Filter position estimation based on Ultra-Wideband Active-Passive Ranging Protocol

author
Laadung, Taavi
Ulp, Sander
Fjodorov, Aleksei
Alam, Muhammad Mahtab
Le Moullec, Yannick
statement of authorship
Taavi Laadung, Sander Ulp, Aleksei Fjodorov, Muhammad Mahtab Alam, Yannick Le Moullec
source
IEEE Access
publisher
IEEE
journal volume number month
vol. 11
year of publication
2023
pages
p. 92575-92588
url
https://doi.org/10.1109/ACCESS.2023.3308696
subject term
Kalmani filtrid
protokollid
testimine
keyword
A-EKF
AP-TWR
EKF
position estimation
SS-TWR
UWB
ISSN
2169-3536
notes
Bibliogr.: 50 ref
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
Computer science
Materials science
category (sub)
Engineering. General engineering
Computer science. General computer science
Materials science. General materials science
kvartiil
Q1
TTÜ department
Thomas Johann Seebecki elektroonikainstituut
language
inglise
Uurimisrühm
Cognitronic lab-on-a-chip research group
Communication systems research group
Laadung, T., Ulp, S., Fjodorov, A., Alam, M. M., Le Moullec, Y. Adaptive Extended Kalman Filter position estimation based on Ultra-Wideband Active-Passive Ranging Protocol // IEEE Access (2023) vol. 11, p. 92575-92588. https://doi.org/10.1109/ACCESS.2023.3308696